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Citation:
 Hongli Chen,Lei Wan,Fang Wang and Guocheng Zhang.Model Predictive Controller Design for the Dynamic Positioning System of a Semi-submersible Platform[J].Journal of Marine Science and Application,2012,(3):361-367.[doi:10.1007/s11804-012-1144-z]
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Model Predictive Controller Design for the Dynamic Positioning System of a Semi-submersible Platform

Info

Title:
Model Predictive Controller Design for the Dynamic Positioning System of a Semi-submersible Platform
Author(s):
Hongli Chen Lei Wan Fang Wang and Guocheng Zhang
Affilations:
Author(s):
Hongli Chen Lei Wan Fang Wang and Guocheng Zhang
Key Laboratory of Science and Technology for National Defense, Harbin Engineering University, Harbin 150001, China
Keywords:
dynamic positioning system model predictive controller constraints handling semi-submersible platform low-frequency motion model
分类号:
-
DOI:
10.1007/s11804-012-1144-z
Abstract:
This paper researches how to apply the advanced control technology of model predictive control (MPC) to the design of the dynamic positioning system (DPS) of a semi-submersible platform. First, a linear low-frequency motion model with three degrees of freedom was established in the context of a semi-submersible platform. Second, a model predictive controller was designed based on a model which took the constraints of the system into account. Third, simulation was carried out to demonstrate the feasibility of the controller. The results show that the model predictive controller has good performance and good at dealing with the constraints of the system.

References:

Gonzalez AH, Odloak D (2009). Robust model predictive controller with output feedback and target tracking. IET Control Theory and Applications, 4(8), 1377-1390.
Li DP (2008). Ship motion and modeling. Second edition. National Defense Industrial Press, Beijing, China, 1-104.
Li L, Jia ZR, Cheng TT, Jia XC (2011). Optimal model predictive control for path tracking of autonomous vehicle. 3rd International Conference on Measuring Technology and Mechatronics Automation, Shanghai, China, 791-794.
Luo YH (2004). Model predictive depth control of an autonomous underwater vehicle. Control Theory and Applications, 23(11), 7-10.
Maciejowski JM (2002). Predictive control with constraints. Prentice Hall, Upper Saddle River, USA, 1-143.
Morgan MJ (1984). Dynamic positioning of offshore vessels. National Defense Industry Press, Beijing, China, 172-230.
Qian JX, Zhao J, Xu ZH (2007). Predictive control. Chemical Industry Press, Beijing, China, 1-96.
Rau M, Schroder D (2002). Model predictive control with nonlinear state space models. Proceedings of the 7th International Workshop on Advanced Motion Control, Maribor, Slovenia, 136-141.
Ruscio DD (1997). Model predictive control and identification: a linear state space model approach. Proceedings of the 36th Conference on Decision & Control, San Diego, USA, 3202-3209.
Song SS, Xu DM, Pan F, Pan Y (2005). Model predictive control of an autonomous underwater vehicle. Journal of Projectiles, Rockets, Missiles and Guidance, 25(3), 272-274.
Sui D, Ong CJ (2006). Multi-mode model predictive controller for constrained linear systems with bounded disturbances. Proceedings of 2006 American Control Conference, Minneapolis, Minnesota, USA, 172-176.
Tong JJ, He LM, Tian ZH (2002). Mathematical model of dynamically positioning system of ship. Ship Engineering, 5, 27-29.
Wang YH (2006). Application of model predictive control to dynamic positioning system. Master thesis. Harbin Engineering University, Harbin, 52-78.
Xi YG (1993). Predictive control. National Defense Industrial Press, Beijing, China, 1-138.
Xia GQ, Shi X Ch, Fu MY (2005). Design of dynamic positioning systems using hybrid CMAC-based PID controller for a ship. Proceedings of the IEEE International Conference on Mechatronics & Automation, Niagara Falls, Canada, 825-830.
Yang YY (2006). A study on the controls and applications of model predictive control. Master thesis. Daqing Petroleum Institute, Daqing, 3-22.
Zhang GL, Deng ZL (2005). Application and improvement of fuzzy controller in ship dynamic positioning systems. Shipbuilding of China, 46(4), 26-30.

Memo

Memo:
Supported by the Basic Research Foundation of Central University (HEUCFZ1003)
Last Update: 2012-09-06